Pith. sign in

Paper Citation Record · LEDGER

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking

As of 17 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 6 inbound Pith citation observations for arXiv:2505.21045.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.21045 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:15.150277Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:50:02.562904Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T18:50:05.107180Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 436f1249-7353-4bc7-b7f6-3ab0072f6a2c · outbound

This paper cites Unauthorized UA V countermeasure for low-altitude econ- omy: Joint communications and jamming based on MIMO cellular systems,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking Unauthorized UA V countermeasure for low-altitude econ- omy: Joint communications and jamming based on MIMO cellular systems,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:18.102870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:13.763330Z digest=sha256:e11c392fcc1bb11cddfd1c974fb8baaa464f473d0c9f01383a3267819365c645

Observation b5b1899b-7584-4180-a252-51e8883d4d39 · outbound

This paper cites Multi-UA V-enabled energy-efficient data delivery for low-altitude economy: Joint coded caching, user grouping, and UA V deployment,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking Multi-UA V-enabled energy-efficient data delivery for low-altitude economy: Joint coded caching, user grouping, and UA V deployment,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:17.935061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:13.849055Z digest=sha256:3dd3f38792aff0a5a58517af7a9c8e9a61114f236bffd858cc36106f819031cf

Observation e0b13303-639b-4842-a7e7-9f7039fe69dd · outbound

This paper cites Synchronizing UA V teams for timely data collection and energy transfer by deep reinforcement learning,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking Synchronizing UA V teams for timely data collection and energy transfer by deep reinforcement learning,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:17.761092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:14.000404Z digest=sha256:df2142e4d156a37a00325be31d31a628ceecc6d3a8a23696678f2ba2e326fab8

Observation fbb131a8-d870-4557-905a-a97a879b26ff · outbound

This paper cites Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:17.587633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:14.102555Z digest=sha256:7e3d6531850b3a75930095310c38cf630770a171a87fccae544df0ee5c4e5401

Observation b19353b6-eb39-4415-85f4-1d6e89c0b3c2 · outbound

This paper cites Generative AI agents with large language model for satellite networks via a mixture of experts transmission,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking Generative AI agents with large language model for satellite networks via a mixture of experts transmission,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:17.353662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:14.258477Z digest=sha256:6e18cf9417f274ce6a27ace8e5436315e3ce2eb1ff61534fe483f72be0af95cd

Observation 23092546-c618-4b2e-bba2-249ff24f6a77 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking Chain-of-thought prompting elicits reasoning in large language models,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:17.171860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:14.340186Z digest=sha256:606b6744b3c3935e747efe558768e1de9cefba1b3fd610e59897073906e698e5

Observation c8d8b914-ed55-40c4-825b-c299827b1d47 · outbound

This paper cites Reward design with language models,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking Reward design with language models,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:16.958920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:14.447489Z digest=sha256:c04c1a20ed63d1c493bf623ac4f40c5342eda3a80f2505a5da449441c32b3ab9

Observation 4d358bb3-95fb-4db3-9082-0d53f3f0d1d2 · outbound

This paper cites History compression via language models in rein- forcement learning,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking History compression via language models in rein- forcement learning,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:16.752300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:14.526447Z digest=sha256:65ce8eb37f1993c4259ff56ef74f472f404a7fc2f2e7132994488704256e660d

Observation 08d7e3e7-ee00-4be1-8e16-4e6f436ac8dd · outbound

This paper cites Plan-seq-learn: Language model guided RL for solving long horizon robotics tasks,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking Plan-seq-learn: Language model guided RL for solving long horizon robotics tasks,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:16.588685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:14.627115Z digest=sha256:e076c6eec7a2d7b3e86d32a175588fa9fb0e635b842f6a7566f8ae793d3035d8

Observation 369dbeda-4ccb-469c-bcd1-c506c017ba9e · outbound

This paper cites Unleashing the power of pre-trained language models for offline reinforcement learning,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking Unleashing the power of pre-trained language models for offline reinforcement learning,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:16.422794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:14.708661Z digest=sha256:0aca1b1f85c592fb68dec74e6871d640a4f7aa9f1a27336e93c4c04941c2ec9b

Observation 16898b3b-17fc-4369-abf0-18d4c23220b7 · outbound

This paper cites Reflexion: language agents with verbal reinforcement learning,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking Reflexion: language agents with verbal reinforcement learning,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:16.271199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:14.781970Z digest=sha256:a03108ba09b99e96453b2e3ab1f209d1baf8208b56f893aaa60bc453cad82109

Observation 92c1ad56-ae30-4f46-bcd5-8974e8b38b31 · outbound

This paper cites RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:43:15.437147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:14.863191Z digest=sha256:1191ccfc40d3fa9cb4fa495c221f578e6f8dcdba08808edd80073a2325ea3f19

Observation 6bc47f25-861b-450b-be72-cd8d8cef4c01 · outbound

This paper cites Rlingua: Improving reinforcement learning sample efficiency in robotic manipulations with large language models,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking Rlingua: Improving reinforcement learning sample efficiency in robotic manipulations with large language models,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:16.058882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:14.969126Z digest=sha256:8c61c42a5d5a0b21a913c18d4add9cfe9d316d6ab355edf8515409e1b9ce4a69

Observation fe69abfd-7fa1-4a98-8b90-b9b3aebe0781 · outbound

This paper cites Large language model guided reinforcement learning based six-degree-of-freedom flight control,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking Large language model guided reinforcement learning based six-degree-of-freedom flight control,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:15.878184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:15.074759Z digest=sha256:d2784a0bb2f4e1f0bfa0d2a407541083ed231a37f64cd23013d03c827ffc6346

Observation 5cae5f33-109b-457c-a2de-bb8584753183 · outbound

This paper cites TELeR: A general taxonomy of LLM prompts for benchmarking complex tasks,.

Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking TELeR: A general taxonomy of LLM prompts for benchmarking complex tasks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:15.662977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:43:15.150277Z digest=sha256:6ccff6901ce4a2f50ecdcc66701f5a786689996ddf576e2f36c2114cb0be195f

Pith citing papers

Observation 728451b4-1174-4bad-9904-5f011e04392e · inbound

HybridRAG-based LLM Agents for Low-Carbon Optimization in Low-Altitude Economy Networks cites this paper.

HybridRAG-based LLM Agents for Low-Carbon Optimization in Low-Altitude Economy Networks Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:02.562904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:02.562904Z digest=sha256:94652e5ec808bbdd0d5f35caa9b00a86068782fdf2322abe3647841979566316

Observation 54f10ba2-e1f3-4179-9bfe-8fccdce40164 · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking

Reference 105

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:14.856062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:14.856062Z digest=sha256:84962f8f6542375a1ece001d7f4fb632d85c943630cd625d776b30cc56dcf465

Observation 0607debd-8716-4212-9856-589003c9b15f · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking

Reference 216

Resolution
unresolved
no resolver link, observed 2026-08-05T16:21:00.283034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:21:00.283034Z digest=sha256:18841511614667404d5db1fe14c666cf72c9e418c67d6a93e06d991dcc86992b

Observation 3818844b-b7f7-4848-b71a-37840cfe01de · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking

Reference 214

Resolution
unresolved
no resolver link, observed 2026-08-05T04:50:32.330484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:50:32.330484Z digest=sha256:cd61efda36b3a1c985db5275d6213cae3901f4ba2eb114e8262489e67acee56a

Observation 5563eafd-36ed-4b55-a028-0cbfe4afa448 · inbound

Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization cites this paper.

Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T10:37:23.173816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:37:23.173816Z digest=sha256:dac8961db6030fb6b6245ad7a68f12e5699e7723606c512baa802bce38b443cf

Observation 548de2e0-6a94-4349-ac63-fa31e9c73575 · inbound

SkyChain Intelligence: A Blockchain-Secured Multi-Agent DRL Framework for Low-Altitude Embodied Artificial Intelligence cites this paper.

SkyChain Intelligence: A Blockchain-Secured Multi-Agent DRL Framework for Low-Altitude Embodied Artificial Intelligence Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:50:05.108813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-25T22:22:11.418454Z digest=sha256:6563091e4e4fbfa67c1c340f493db8937b0a659279d888053651200a9514f8f1